Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.

ABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the wate...

Descrición completa

Gardado en:
Detalles Bibliográficos
Autor Principal: CARRACELAS, G. (author)
Outros autores: HORNBUCKLE, J. (author), BALLESTER, C. (author)
Formato: article
Idioma:inglés
Publicado: 2025
Subjects:
Acceso en liña:https://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
_version_ 1868890178105376768
author CARRACELAS, G.
author2 HORNBUCKLE, J.
BALLESTER, C.
author2_role author
author
author_browse BALLESTER, C.
CARRACELAS, G.
HORNBUCKLE, J.
author_facet CARRACELAS, G.
HORNBUCKLE, J.
BALLESTER, C.
author_role author
collection AINFO
dc.creator.none.fl_str_mv CARRACELAS, G.
HORNBUCKLE, J.
BALLESTER, C.
dc.date.none.fl_str_mv 2025-06-23T18:49:44Z
2025-06-23T18:49:44Z
2025
2025-06-23T18:49:44Z
dc.identifier.none.fl_str_mv https://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169
dc.language.none.fl_str_mv en
eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Acceso abierto
dc.source.none.fl_str_mv reponame:AINFO
instname:Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
dc.subject.none.fl_str_mv Vegetation indices
Unmanned aerial vehicle
Irrigation
N uptake
Remote sensing
SISTEMA ARROZ-GANADERÍA - INIA
dc.title.none.fl_str_mv Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
dc.type.none.fl_str_mv Article
PublishedVersion
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description ABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. © 2025 by the authors. Licensee MDPI, Basel, Switzerland.
eu_rights_str_mv openAccess
format article
id anni_bcb64c9880ea108f1e7dacbee6b93386
instacron_str Instituto Nacional de Investigación Agropecuaria
institution Instituto Nacional de Investigación Agropecuaria
instname_str Instituto Nacional de Investigación Agropecuaria
language eng
language_invalid_str_mv en
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/5082
publishDate 2025
publishDateSort 2025
reponame_str AINFO
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv Acceso abierto
spelling Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.CARRACELAS, G.HORNBUCKLE, J.BALLESTER, C.Vegetation indicesUnmanned aerial vehicleIrrigationN uptakeRemote sensingSISTEMA ARROZ-GANADERÍA - INIAABSTRACT.- The observation time and water background can affect the remote sensing estimates of the nitrogen (N) content in rice crops. This makes the use of vegetation indices (VIs) for N status monitoring and topdressing recommendations challenging, as the timing of panicle initiation and the water level in bays usually differ between farms even when managed using the same irrigation technique. This study aimed to investigate the influence of standing water levels (from 0 to 20 cm) and the time of image acquisition on a set of N-sensitive VIs to identify those less affected by these factors. The experiment was conducted using a split-plot experimental design with two side-by-side bays (main plots) where rice was grown ponded for most of the growing season and aerobically (not permanently ponded), each with four fertilization N rates. © 2025 by the authors. Licensee MDPI, Basel, Switzerland.2025-06-23T18:49:44Z2025-06-23T18:49:44Z20252025-06-23T18:49:44ZArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169reponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación Agropecuariaenenginfo:eu-repo/semantics/openAccessAcceso abiertooai:redi.anii.org.uy:20.500.12381/50822026-02-10T17:36:54Z
spellingShingle Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
CARRACELAS, G.
Vegetation indices
Unmanned aerial vehicle
Irrigation
N uptake
Remote sensing
SISTEMA ARROZ-GANADERÍA - INIA
status_str publishedVersion
title Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
title_full Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
title_fullStr Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
title_full_unstemmed Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
title_short Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
title_sort Impact of standing water level and observation time on remote-sensed canopy indices for rice nitrogen status monitoring.
topic Vegetation indices
Unmanned aerial vehicle
Irrigation
N uptake
Remote sensing
SISTEMA ARROZ-GANADERÍA - INIA
url https://ainfo.inia.uy/consulta/busca?b=pc&id=65169&biblioteca=vazio&busca=65169&qFacets=65169